Andreas Krause
Impact in
- Statistical and Nonlinear Physics top 0.1%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 0.1%
- Machine Learning and Algorithms
- Gaussian Processes and Bayesian Inference
Papers in
-
- Machine Learning and Algorithms 44
- Gaussian Processes and Bayesian Inference 33
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- Advanced Bandit Algorithms Research 32
- Auction Theory and Applications 15
- Co-authors
- Carlos Guestrin (23 shared papers)Jure Leskovec (6 shared papers)Daniel Golovin (9 shared papers)Maarten Speekenbrink (3 shared papers)Eric R. Schulz (3 shared papers)Jeanne M. VanBriesen (3 shared papers)Christos Faloutsos (2 shared papers)Natalie Glance (1 shared paper)
- Journals
- Journal of Machine Learning Research (6 papers)RMD Open (5 papers)Annals of the New York Academy of Sciences (5 papers)IEEE Robotics and Automation Letters (5 papers)Lara D. Veeken (4 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Andreas Krause
259 papers receiving 17.5k citations
Andreas Krause's Hit Papers
Peers
Comparison fields: 5 of 214
- Statistical and Nonlinear Physics 2.6k
- Artificial Intelligence 5.6k
- Computer Science Applications 810
- Computer Networks and Communications 3.2k
- Computational Theory and Mathematics 2.2k
Countries citing papers authored by Andreas Krause
This map shows the geographic impact of Andreas Krause's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andreas Krause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Krause more than expected).
Fields of papers citing papers by Andreas Krause
This network shows the impact of papers produced by Andreas Krause. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andreas Krause. The network helps show where Andreas Krause may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Krause, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 269 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cost-effective outbreak detection in networks Hit paper breakdown → | 2007 | 1948 |
| 2 | A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions Hit paper breakdown → | 2018 | 1255 |
| 3 | Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies Hit paper breakdown → | 2008 | 854 |
| 4 | Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting Hit paper breakdown → | 2012 | 633 |
| 5 | Inferring networks of diffusion and influence Hit paper breakdown → | 2010 | 519 |
| 6 | Submodular Function Maximization Hit paper breakdown → | 2014 | 512 |
| 7 | The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms Hit paper breakdown → | 2008 | 491 |
| 8 | Unfreezing the robot: Navigation in dense, interacting crowds Hit paper breakdown → | 2010 | 472 |
| 9 | 2012 | 325 | |
| 10 | 2005 | 324 | |
| 11 | 2008 | 302 | |
| 12 | 2012 | 259 | |
| 13 | 2007 | 241 | |
| 14 | 2004 | 237 | |
| 15 | 2011 | 236 | |
| 16 | 2011 | 229 | |
| 17 | 2018 | 221 | |
| 18 | 2013 | 213 | |
| 19 | 2015 | 209 | |
| 20 | 2014 | 207 |
About Andreas Krause
Andreas Krause is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Computer Science Applications and Computer Networks and Communications, having authored 269 papers that have together received 18.2k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (44 papers), Gaussian Processes and Bayesian Inference (33 papers), Advanced Bandit Algorithms Research (32 papers), Complexity and Algorithms in Graphs (24 papers), Mobile Crowdsensing and Crowdsourcing (22 papers), Advanced Multi-Objective Optimization Algorithms (19 papers), Auction Theory and Applications (15 papers) and Optimization and Search Problems (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.6k citations), Artificial Intelligence (5.6k citations), Computer Science Applications (810 citations), Computer Networks and Communications (3.2k citations) and Computational Theory and Mathematics (2.2k citations). Andreas Krause has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Carlos Guestrin, Jure Leskovec, Daniel Golovin, Maarten Speekenbrink, Eric R. Schulz, Jeanne M. VanBriesen, Christos Faloutsos, Natalie Glance, Manuel Gomez-Rodriguez and Ajit Pratap Singh. Their work appears in journals such as Journal of Machine Learning Research, RMD Open, Annals of the New York Academy of Sciences, IEEE Robotics and Automation Letters and Lara D. Veeken.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.